Senior ML Engineer (GenAI, AWS)
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Requirements
- Design and implement end-to-end ML solutions from experimentation to production;
- Build scalable ML pipelines and infrastructure;
- Optimize model performance, efficiency, and reliability;
- Write clean, maintainable, production-quality code;
- Conduct rigorous experimentation and model evaluation;
- Troubleshoot and resolve complex technical challenges.
- Mentor junior and mid-level ML engineers;
- Conduct code reviews and provide constructive feedback;
- Share knowledge through documentation, presentations, and workshops;
- Collaborate with cross-functional teams (DevOps, Data Engineering, SAs);
- Contribute to internal ML practice development.
- Stay current with ML research and emerging technologies;
- Propose improvements to existing solutions and processes;
- Contribute to the development of reusable ML accelerators;
- Participate in technical discussions and architectural decisions.
Benefits
- Long-term B2B collaboration
- Fully remote setup
- A budget for your medical insurance
- Paid sick leave, vacation, public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
Originally posted on Himalayas
